Version 1
: Received: 3 April 2023 / Approved: 3 April 2023 / Online: 3 April 2023 (09:33:08 CEST)
How to cite:
Dandea, V.; Grigoras, G. Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks. Preprints2023, 2023040020. https://doi.org/10.20944/preprints202304.0020.v1
Dandea, V.; Grigoras, G. Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks. Preprints 2023, 2023040020. https://doi.org/10.20944/preprints202304.0020.v1
Dandea, V.; Grigoras, G. Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks. Preprints2023, 2023040020. https://doi.org/10.20944/preprints202304.0020.v1
APA Style
Dandea, V., & Grigoras, G. (2023). Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks. Preprints. https://doi.org/10.20944/preprints202304.0020.v1
Chicago/Turabian Style
Dandea, V. and Gheorghe Grigoras. 2023 "Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks" Preprints. https://doi.org/10.20944/preprints202304.0020.v1
Abstract
Nowadays, in low voltage (LV) electric distribution networks (EDNs), the Distribution Network Operators (DNOs) are encountering a high number of connected small-scale distributed generation units, mainly photovoltaic (PV) prosumers. The irregular behavior of the prosumers, together with the uncertainty degree of the requested and injected powers associated with all end-users from the LV EDN, can cause voltage variations with violations of the allowable limits. In this context, the paper developed an efficient and resilient expert system integrating the rule-based reasoning applied to the On-load Tap Changer (OLTC)-fitted transformer to improve the efficiency of the voltage control in the PV-rich LV EDNs. An in-depth analysis based on 75 scenarios, resulting from the combinations of three indicators: the penetration degree of the PV prosumers, consumption evolution associated with the consumers, and energy production of the PV systems, has been performed to demonstrate the efficiency of the proposed expert system in an LV EDN from a rural area belonging to a Romanian DNO. The success rate of the expert system has been 86.7% (65 out of 75 scenarios didn't have voltage issues, all values being between the allowable limits in 100% of the time slots associated with the analyzed period). For the other scenarios (representing 13.3%), the values have been inside the range [-10%, +10%] at least 95% of the time slots, according to the European Power Quality Standard, and for the rest of the time slots up to 100% being very close to the upper and lower limits of the range, with highly mitigating of the voltage variations.
Keywords
expert system; rule-based reasoning; voltage control; On-load Tap Changer; distribution networks; photovoltaic prosumers
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
